Optimum Integrated Design of Crude Oil Supply Chain by a Unique Mixed Integer Nonlinear Programming Model

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Bibliographic Details
Title: Optimum Integrated Design of Crude Oil Supply Chain by a Unique Mixed Integer Nonlinear Programming Model
Authors: Ali Azadeh, Farideh Shafiee, Reza Yazdanparast, Jafar Heydari, Ali Keshvarparast
Source: Industrial & Engineering Chemistry Research. 56:5734-5746
Publisher Information: American Chemical Society (ACS), 2017.
Publication Year: 2017
Subject Terms: 0211 other engineering and technologies, 02 engineering and technology
Description: In this paper, a mixed integer nonlinear programming model is proposed to concurrently design two segments (i.e., upstream and midstream) of crude1 oil supply chain. The network includes all entities and their connections from oil wells to product depots. Furthermore, a real world example is applied to show the improved model application. Furthermore, a sensitivity analysis in which ±20% deviations at a time were placed on two parameters is presented. Also, model performance is analyzed with GAMS 22.6. The proposed multiperiod and multiproduct model consists of several decisions (i.e., oil field development, transformation, transportation, and distribution). The main contributions of this work are inclusion of all entities related to upstream and midstream segments and both oil field development and transformation planning, simultaneously. Finally, it is shown that a decrease in production cost of refinery products will lead to more net profit given all refinery production capacity are used. Also, increas...
Document Type: Article
Language: English
ISSN: 1520-5045
0888-5885
DOI: 10.1021/acs.iecr.6b02460
Access URL: http://pubs.acs.org/doi/abs/10.1021/acs.iecr.6b02460
https://pubag.nal.usda.gov/catalog/6009266
https://pubs.acs.org/doi/abs/10.1021/acs.iecr.6b02460
https://pubs.acs.org/doi/full/10.1021/acs.iecr.6b02460
Accession Number: edsair.doi.dedup.....2389af88a041f66fbc3cb15f0070696b
Database: OpenAIRE
Description
Abstract:In this paper, a mixed integer nonlinear programming model is proposed to concurrently design two segments (i.e., upstream and midstream) of crude1 oil supply chain. The network includes all entities and their connections from oil wells to product depots. Furthermore, a real world example is applied to show the improved model application. Furthermore, a sensitivity analysis in which ±20% deviations at a time were placed on two parameters is presented. Also, model performance is analyzed with GAMS 22.6. The proposed multiperiod and multiproduct model consists of several decisions (i.e., oil field development, transformation, transportation, and distribution). The main contributions of this work are inclusion of all entities related to upstream and midstream segments and both oil field development and transformation planning, simultaneously. Finally, it is shown that a decrease in production cost of refinery products will lead to more net profit given all refinery production capacity are used. Also, increas...
ISSN:15205045
08885885
DOI:10.1021/acs.iecr.6b02460